Power system time synchronization tester detection management method

Abstract

The invention discloses a power system time synchronization tester detection management method, and relates to the technical field of power system testing and monitoring, and the method comprises the steps: S1, connecting each time synchronization tester to a central management platform, and starting initial time synchronization; s2, generating a synchronous correction instruction based on the time deviation data reported by each tester; s3, sending a synchronous correction instruction to each tester, and performing time deviation correction; s4, monitoring the time deviation of each tester in real time, and ensuring the synchronization precision after correction; s5, when it is detected that the time deviation exceeds a preset threshold value, triggering a re-correction process; according to the power system time synchronization tester detection management method, the problem of synchronization coordination caused by inconsistent time deviation correction in a multi-device synchronization process in the prior art is solved.

Description

Technical Field

[0001] The invention relates to the technical field of power system testing and monitoring, and in particular to a detection management method for a power system time synchronization tester. Background Art

[0002] In modern power systems, time synchronization technology is one of the important foundations for ensuring the stable operation of the system. Through time synchronization, all devices in the system can work together under a unified time reference, thereby achieving the accuracy of event recording and the coordination of equipment operation. To achieve time synchronization, a time synchronization tester is usually used to perform time correction and synchronization verification on multiple devices.

[0003] In the prior art, time synchronization testers mainly rely on satellite timing or other unified time sources to distribute time signals to multiple devices and perform synchronization correction. However, in practical applications, due to differences in processing delays, response capabilities, and correction algorithms of different devices after receiving time signals, inconsistent time deviation corrections may occur. This inconsistency will accumulate and cause the time error between devices to gradually increase, thereby weakening the synchronization coordination of the system, and further affecting fault location, event recording, and subsequent scheduling analysis. In addition, when communication interruptions or time signal interference occur during the synchronization of multiple devices, the existing tester cannot detect and adjust the synchronization strategy in real time, further exacerbating the problem of time error. Summary of the invention

[0004] The purpose of the present invention is to provide a detection and management method for a power system time synchronization tester, so as to solve the problem of synchronization coordination caused by inconsistent time deviation correction in the synchronization process of multiple devices in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a detection and management method of a power system time synchronization tester, the method comprising:

[0006] S1. Connect each time synchronization tester to the central management platform and start the initial time synchronization;

[0007] S2. Generate synchronization correction instructions based on the time deviation data reported by each tester;

[0008] S3, send synchronization correction instructions to each tester to perform time deviation correction, including defining the time deviation of each tester as the error signal of the control system, and dynamically adjusting the correction signal through the PID controller to ensure that the deviation gradually tends to zero. The specific formula is:

[0009]

[0010] Where u(t) represents the correction amount of the synchronous correction instruction, K prepresents the gain coefficient of proportional control, e(t) represents the current time deviation of the tester, K i Indicates the gain coefficient of integral control, K d represents the gain coefficient of differential control, and t represents time;

[0011] Perform corrective actions inside the tester and update the local time, T new =T current +u(t);

[0012] Among them, T new It indicates the new time obtained by the tester after the calibration operation, T current Indicates the local time of the tester before calibration, T target Indicates the standard time provided by the central management platform;

[0013] S4, real-time monitoring of the time deviation of each tester to ensure the synchronization accuracy after correction;

[0014] S5. When it is detected that the time deviation exceeds a preset threshold, a re-calibration process is triggered.

[0015] Preferably, the S1 comprises:

[0016] Collect signal strength and stability data between the tester and the central management platform, generate the signal flow of the initial connection, extract the instantaneous signal envelope, set a threshold, evaluate the signal quality based on the envelope value, and adjust the network connection or reallocate resources if the signal strength is lower than the threshold.

[0017] Preferably, the specific formula for generating the signal flow of the initial connection is:

[0018]

[0019] Among them, x(τ) represents the signal flow, t represents time, represents the phase information of the signal flow, and τ represents the integral variable.

[0020] Preferably, the specific formula for extracting the instantaneous signal envelope is:

[0021]

[0022] Among them, E(t) represents the instantaneous strength of the signal at the current moment, x 2 (t) represents the energy component of the signal, represents the phase component of the signal, and t represents time.

[0023] Preferably, S2 includes:

[0024] Collect the current time deviation data reported by all testers;

[0025] According to the target time of the central management platform, the time deviation of each tester is calculated to obtain the time error value;

[0026] The time deviation data is processed using a weighted algorithm to generate corrections for each tester;

[0027] The correction amount is converted into a specific synchronization correction instruction to guide each tester to adjust its local time.

[0028] Preferably, S2 further includes:

[0029] The statistical analysis algorithm is used to aggregate the time deviation data of each tester to calculate the maximum, minimum, average and standard deviation of the deviation;

[0030] The main trend characteristics of the time deviation data are extracted by principal component analysis to identify testers with large deviations;

[0031] For testers with larger deviations, higher priority synchronization correction instructions are generated and marked as key correction objects;

[0032] Generate low-priority correction instructions for testers with smaller deviations and optimize the allocation of correction resources.

[0033] Preferably, S4 includes:

[0034] Continuously sample the local time of each tester and upload it to the central management platform;

[0035] By calculating the changing trend of time deviation, the synchronization accuracy after correction can be determined;

[0036] If the deviation data fluctuates beyond a predetermined stable range, the relevant tester is marked as abnormal;

[0037] Record the time deviation monitoring results of all testers and generate a real-time deviation trend chart to analyze whether the synchronization accuracy meets the requirements.

[0038] Preferably, the S4 further includes:

[0039] Detect the mutation points in the time deviation data and identify possible interference sources through fast Fourier transform;

[0040] When the time deviation of the tester continues to exceed the stable range, an early warning message is generated and the maintenance personnel are notified;

[0041] According to the deviation monitoring results, the calibration cycle of each tester is dynamically adjusted to shorten the calibration interval of high-deviation testers;

[0042] The deviation data of abnormal testers are classified and stored for subsequent analysis and optimization of synchronization strategies.

[0043] Preferably, S5 includes:

[0044] Set preset thresholds for time deviation and store them in the central management platform;

[0045] Real-time monitoring of the comparison results between the time deviation value of each tester and the preset threshold;

[0046] When the time deviation value of any tester exceeds the preset threshold, a corresponding secondary synchronization correction instruction is immediately generated;

[0047] Send a secondary correction instruction to the abnormal tester and perform time deviation correction on it until its deviation value returns to the allowable range;

[0048] After completing the secondary calibration, the time deviation calibration results of the tester are recorded and archived.

[0049] Preferably, the S5 further includes:

[0050] Adaptively adjust the frequency and intensity of correction instructions according to the current time deviation change rate of the tester;

[0051] For testers with periodic deviation fluctuations, differential control methods are preferred for precise adjustment;

[0052] For testers with stable deviations for a long time, the integral control method is used to eliminate the cumulative error;

[0053] Through dynamic bandwidth allocation technology, more communication resources are allocated to testers with larger deviations first to improve their synchronization speed.

[0054] It can be seen from the above technical solution that the present invention has the following beneficial effects:

[0055] The detection and management method of the time synchronization tester of the power system connects each time synchronization tester to the central management platform and starts the initial time synchronization. Based on the time deviation data reported by each tester, a synchronization correction instruction is generated, and the synchronization correction instruction is sent to each tester to perform time deviation correction. The time deviation of each tester is monitored in real time to ensure the synchronization accuracy after correction. When it is detected that the time deviation exceeds the preset threshold, the re-correction process is triggered, which can significantly improve the consistency of time deviation correction and reduce the time error accumulation problem caused by equipment processing delay and correction ability difference, thereby ensuring high-precision time synchronization between devices, realizing global optimization of time synchronization, significantly enhancing the coordination of the system, reducing unnecessary synchronization operations and resource waste, and reducing equipment operation and maintenance costs. It effectively ensures the safety and stability of the power system and solves the synchronization coordination problem caused by inconsistent time deviation correction in the synchronization process of multiple devices in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] like Figure 1 As shown, the present invention provides a technical solution: a detection and management method for a power system time synchronization tester, the method comprising:

[0059] S1. Connect each time synchronization tester to the central management platform and start the initial time synchronization;

[0060] S2. Generate synchronization correction instructions based on the time deviation data reported by each tester;

[0061] S3, send synchronization correction instructions to each tester to perform time deviation correction, including defining the time deviation of each tester as the error signal of the control system, and dynamically adjusting the correction signal through the PID controller to ensure that the deviation gradually tends to zero. The specific formula is:

[0062]

[0063] Where u(t) represents the correction amount of the synchronous correction instruction, K p represents the gain coefficient of proportional control, e(t) represents the current time deviation of the tester, K i Indicates the gain coefficient of integral control, K d represents the gain coefficient of differential control, and t represents time;

[0064] Perform corrective actions inside the tester and update the local time, T new =T current +u(t);

[0065] Among them, T new It indicates the new time obtained by the tester after the calibration operation, T current Indicates the local time of the tester before calibration, T target Indicates the standard time provided by the central management platform;

[0066] S4, real-time monitoring of the time deviation of each tester to ensure the synchronization accuracy after correction;

[0067] S5. When it is detected that the time deviation exceeds a preset threshold, a re-calibration process is triggered.

[0068] The working principle of the present invention is based on the dynamic adjustment mechanism of the PID controller. By taking the time deviation of each tester as the error signal, the PID controller adjusts the control signal according to the three terms of proportion, integration and differentiation, and gradually corrects the local time of each tester to make it close to the standard time provided by the central management platform. During the time synchronization process, the dynamic change of the correction signal is affected by the current deviation value, the accumulated error and the error change rate. PID control can effectively reduce the oscillation and overshoot of the time deviation, ensuring the stability and accuracy of the synchronization operation. The corrected tester time is updated by the formula T new =T current +u(t) ensures synchronization to the standard time. The real-time monitoring function further ensures that high accuracy can be maintained after synchronization is completed, and a new correction process can be quickly triggered when the deviation exceeds the limit. The method dynamically adjusts the correction signal through PID control, which can gradually reduce the time deviation and achieve high synchronization accuracy. The PID control algorithm effectively avoids overshoot and oscillation during the correction process and ensures the stability of time synchronization operation. By monitoring the time deviation in real time, the synchronization deviation can be quickly identified and corrected to maintain the reliability and adaptability of the system operation. The central management platform manages and corrects each tester in a unified manner, simplifies the operation process, and improves management efficiency.

[0069] S1 includes collecting signal strength and stability data between the tester and the central management platform, generating a signal stream for the initial connection, extracting the instantaneous signal envelope, setting a threshold, evaluating the signal quality according to the envelope value, and adjusting the network connection or reallocating resources if the signal strength is lower than the threshold. In the process of establishing a connection between the time synchronization tester and the central management platform, the present invention uses signal strength and stability data as key indicators and dynamically evaluates the connection quality by extracting the signal envelope value. Signal acquisition: The tester collects connection signal strength and stability data in real time to reflect the quality of the current communication link. Envelope extraction and threshold setting: In the generated signal stream, the envelope of the instantaneous signal is extracted and compared with the preset signal quality threshold. The envelope value can intuitively reflect the dynamic changes of the signal, which is convenient for accurately judging the connection status. Signal quality evaluation: If the signal strength is higher than the threshold, it means that the current connection quality is good and the time synchronization operation can be performed normally; if the signal strength is lower than the threshold, it indicates that there may be problems with the communication link and the strategy needs to be adjusted. Adjustment and optimization: When the signal quality is low, restore the normal connection quality by adjusting the network connection parameters (such as channel frequency, bandwidth allocation, etc.) or reallocating system resources (such as switching to a backup network or adding signal repeaters). This process ensures the stability and reliability of time synchronization operations.

[0070] The specific formula for generating the signal flow of the initial connection is:

[0071]

[0072] Among them, x(τ) represents the signal flow, t represents time, represents the phase information of the signal flow, and τ represents the integral variable.

[0073] The signal flow x(τ) represents the communication data flow between the tester and the central management platform. Its characteristics include information such as strength and stability. By analyzing the signal flow, the generalized Hilbert transform is used to calculate its phase information. Transformation formula:

[0074]

[0075] In the equation, the integral variable τ is used to describe the change of the signal over time, and t represents the characteristics of the signal at a specified time point.

[0076] The specific formula for extracting the instantaneous signal envelope is:

[0077]

[0078] Among them, E(t) represents the instantaneous strength of the signal at the current moment, x 2 (t) represents the energy component of the signal, represents the phase component of the signal, and t represents time.

[0079] The instantaneous envelope E(t) of a signal is a comprehensive description of the signal strength, combining the energy component and phase component of the signal. By formula:

[0080] The energy information x 2 (t) and phase information Describe them uniformly under the same framework.

[0081] x(t) represents the real-time value of the signal, and its square x 2 (t) reflects the energy of the signal at the current time point.

[0082] By phase square The contribution of phase characteristics to signal intensity can be quantitatively characterized.

[0083] The envelope extraction formula comprehensively evaluates the instantaneous intensity E(t) of the signal by taking the square root of the sum of the squares of the energy component and the phase component.

[0084] This strength value can be used to determine signal quality, identify possible interference or fluctuations in the signal, and serve as a reference for subsequent time synchronization adjustments.

[0085] S2 includes collecting the current time deviation data reported by all testers; calculating the time deviation of each tester according to the target time of the central management platform to obtain the time error value; processing the time deviation data using a weighted algorithm to generate a correction value for each tester; converting the correction value into a specific synchronization correction instruction to guide each tester to adjust its local time.

[0086] Each tester reports the difference between the current time and the central target time to the management platform. The central management platform obtains the precise deviation data in time synchronization through the error calculation formula, providing basic data support for the generation of correction amounts. The weighted algorithm can assign different correction priorities according to the actual operating status of different testers (such as importance, communication stability, historical deviation fluctuations, etc.). Testers with larger deviations can be assigned higher weights and given priority for precise correction; testers with smaller deviations are assigned lower weights to save system resources. The calculated correction amount directly reflects the time range that the tester needs to adjust. The central management platform guides the tester to perform time synchronization by issuing correction instructions. Through accurate correction amount calculation, the system can ensure that the local time of each tester is gradually consistent with the target time of the central management platform, achieving high-precision time synchronization.

[0087] S2 also includes using statistical analysis algorithms to aggregate the time deviation data of each tester to calculate the maximum, minimum, average and standard deviation of the deviation; extracting the main trend characteristics of the time deviation data through principal component analysis to identify testers with larger deviations; generating higher priority synchronization correction instructions for testers with larger deviations and marking them as key correction objects; generating low priority correction instructions for testers with smaller deviations and optimizing the allocation of correction resources.

[0088] The time deviation data is processed using a statistical analysis algorithm to calculate statistical indicators such as the maximum, minimum, average, and standard deviation, providing data support for the overall evaluation and subsequent processing of the deviation. These indicators can quickly reflect the synchronization status of the tester and the time synchronization performance of the overall system. Principal component analysis is used to extract the main trend features from multidimensional deviation data, simplifying the complexity of data processing through dimensionality reduction and denoising. PCA can highlight testers with large deviations, helping the system to quickly lock key correction objects and improve the efficiency of time synchronization correction. By generating high-priority and low-priority correction instructions in a hierarchical manner, the system can prioritize the correction of testers with large deviations under limited resources, while maintaining the synchronization status of testers with small deviations at a lower frequency. This strategy significantly improves the utilization of system resources while ensuring the accuracy of global time synchronization.

[0089] S4 includes continuous sampling of the local time of each tester and uploading it to the central management platform; judging the synchronization accuracy after correction by calculating the changing trend of the time deviation; marking the relevant tester as abnormal if the deviation data fluctuation exceeds the predetermined stable range; recording the time deviation monitoring results of all testers and generating a real-time deviation trend chart for analyzing whether the synchronization accuracy meets the requirements.

[0090] The local time of the tester is obtained through high-frequency sampling to ensure the real-time and continuity of the data. After being uploaded to the central management platform, the data is used to calculate the current deviation and change trend. Reasonable setting of the time interval of continuous sampling can balance the real-time of data analysis and the occupancy rate of system resources. The deviation change trend evaluates the synchronization accuracy and stability after correction by mathematical modeling and analysis of continuous deviation data, such as linear regression or moving average algorithm. Deviation fluctuations beyond the stable range indicate that the synchronization correction has not achieved the expected accuracy. At this time, it is necessary to mark the abnormal tester for subsequent processing. When the deviation fluctuation exceeds the predetermined range, the system marks the tester as an abnormal device. The anomaly detection algorithm can dynamically adjust the threshold based on the deviation standard deviation or the prediction model based on historical data to improve the accuracy of anomaly detection. The system records and stores the time deviation data and monitoring results of each tester to provide data support for subsequent synchronization strategy optimization. The real-time deviation trend chart uses the dynamic changes of time deviation data to intuitively reflect the overall synchronization performance and the synchronization status of each tester.

[0091] S4 also includes detecting mutation points in time deviation data and identifying possible interference sources through fast Fourier transform; generating warning information and notifying maintenance personnel when the time deviation of the tester continues to exceed the stable range; dynamically adjusting the calibration cycle of each tester based on the deviation monitoring results and shortening the calibration interval of high-deviation testers; and classifying and storing the deviation data of abnormal testers for subsequent analysis and optimization of synchronization strategies.

[0092] Fast Fourier transform converts time deviation data from the time domain to the frequency domain and analyzes the frequency components in the signal. Mutation points are usually manifested as a significant increase in high-frequency components or short-term spikes, and FFT can quickly locate these abnormal frequency characteristics. The identification of interference sources is based on the frequency characteristics of mutation points, combined with environmental factors (such as electromagnetic interference) to determine possible interference causes. The continuous excess of time deviation beyond the stable range indicates that the synchronization correction has not achieved the expected effect. The system automatically generates warning information containing the abnormality type, deviation data, and tester identification, and promptly notifies maintenance personnel to handle the fault and reduce the impact on synchronization accuracy. According to the deviation fluctuation, the dynamic adjustment mechanism of the correction cycle is implemented through the following rules: the tester with a larger deviation increases the correction frequency to quickly correct the time deviation; the tester with a smaller deviation reduces the correction frequency to optimize the use efficiency of system resources. Classified storage of abnormal deviation data can establish an accurate deviation feature model and provide data support for optimizing synchronization strategies. For example, historical abnormal data can be used to improve interference prediction models or optimize correction algorithms.

[0093] S5 includes setting a preset threshold value for time deviation and storing it in the central management platform; real-time monitoring of the comparison results between the time deviation value of each tester and the preset threshold value; when the time deviation value of any tester exceeds the preset threshold value, immediately generating a corresponding secondary synchronization correction instruction; sending a secondary correction instruction to the abnormal tester, and performing time deviation correction on it until its deviation value returns to the allowable range; after completing the secondary correction, recording and archiving the time deviation correction result of the tester.

[0094] The deviation threshold is set according to the synchronization accuracy requirements of the system. The system compares the deviation value of each tester with the threshold in real time to ensure that the tester with excessive deviation is discovered in time. When the deviation value exceeds the threshold, the system generates a synchronization correction instruction by calculating the secondary correction amount to instruct the tester to adjust the local time. The secondary correction instruction dynamically adjusts the correction amount and execution priority based on the real-time changes of the deviation value to ensure that the correction process is efficient and accurate. The corrected deviation value is fed back to the central management platform through real-time monitoring to form a closed-loop control. If the correction fails to achieve the expected effect, the system automatically repeats the correction process until the deviation value returns to the allowable range. The deviation information and correction instructions generated during the correction process are fully recorded and archived by the system for system performance analysis and subsequent improvements.

[0095] S5 also includes adaptively adjusting the frequency and intensity of correction instructions based on the current rate of change of the tester's time deviation; for testers with periodic deviation fluctuations, differential control methods are preferentially used for precise adjustment; for testers with stable deviations for a long time, integral control methods are used to eliminate cumulative errors; and through dynamic bandwidth allocation technology, more communication resources are preferentially allocated to testers with larger deviations to improve their synchronization speed.

[0096] The frequency and intensity of the correction instructions are dynamically adjusted according to the rate of change of the deviation to ensure that the system can quickly respond to the situation of drastic changes in the deviation, while avoiding the waste of resources caused by over-correction of slight deviations. For periodic deviation fluctuations, differential control predicts the deviation trend in advance and adjusts quickly; for stable deviations, integral control gradually eliminates the error through cumulative compensation. The combination of the two forms an efficient correction scheme for different deviation characteristics. By dynamically adjusting the bandwidth allocation, the correction speed of high-deviation testers is prioritized, while the system resources are reasonably allocated to maintain the overall synchronization performance.

[0097] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A detection and management method for a power system time synchronization tester, characterized in that: The method comprises: S1. Connect each time synchronization tester to the central management platform and start the initial time synchronization; S2. Generate synchronization correction instructions based on the time deviation data reported by each tester; S3, send synchronization correction instructions to each tester to perform time deviation correction, including defining the time deviation of each tester as the error signal of the control system, and dynamically adjusting the correction signal through the PID controller to ensure that the deviation gradually tends to zero. The specific formula is: Where u(t) represents the correction amount of the synchronous correction instruction, K p represents the gain coefficient of proportional control, e(t) represents the current time deviation of the tester, K i Indicates the gain coefficient of integral control, K d represents the gain coefficient of differential control, and t represents time; Perform corrective actions inside the tester and update the local time, T new =T current +u(t); Among them, T new It indicates the new time obtained by the tester after the calibration operation, T current Indicates the local time of the tester before calibration, T target Indicates the standard time provided by the central management platform; S4, real-time monitoring of the time deviation of each tester to ensure the synchronization accuracy after correction; S5. When it is detected that the time deviation exceeds a preset threshold, a re-calibration process is triggered.

2. A detection and management method for a power system time synchronization tester according to claim 1, characterized in that: The S1 includes: Collect signal strength and stability data between the tester and the central management platform, generate the signal flow of the initial connection, extract the instantaneous signal envelope, set a threshold, evaluate the signal quality based on the envelope value, and adjust the network connection or reallocate resources if the signal strength is lower than the threshold.

3. A detection and management method for a power system time synchronization tester according to claim 2, characterized in that: The specific formula for generating the signal flow of the initial connection is: Among them, x(τ) represents the signal flow, t represents time, represents the phase information of the signal flow, and τ represents the integral variable.

4. A detection management method for a power system time synchronization tester according to claim 2, characterized in that: The specific formula for extracting the instantaneous signal envelope is: Among them, E(t) represents the instantaneous strength of the signal at the current moment, x 2 (t) represents the energy component of the signal, represents the phase component of the signal, and t represents time.

5. A detection and management method for a power system time synchronization tester according to claim 1, characterized in that: The S2 includes: Collect the current time deviation data reported by all testers; According to the target time of the central management platform, the time deviation of each tester is calculated to obtain the time error value; The time deviation data is processed using a weighted algorithm to generate corrections for each tester; The correction amount is converted into a specific synchronization correction instruction to guide each tester to adjust its local time.

6. A detection and management method for a power system time synchronization tester according to claim 1, characterized in that: The S2 further includes: The statistical analysis algorithm is used to aggregate the time deviation data of each tester to calculate the maximum, minimum, average and standard deviation of the deviation; The main trend characteristics of the time deviation data are extracted by principal component analysis to identify testers with large deviations; For testers with larger deviations, higher priority synchronization correction instructions are generated and marked as key correction objects; Generate low-priority correction instructions for testers with smaller deviations and optimize the allocation of correction resources.

7. A detection and management method for a power system time synchronization tester according to claim 1, characterized in that: The S4 includes: Continuously sample the local time of each tester and upload it to the central management platform; By calculating the changing trend of time deviation, the synchronization accuracy after correction can be determined; If the deviation data fluctuates beyond a predetermined stable range, the relevant tester is marked as abnormal; Record the time deviation monitoring results of all testers and generate a real-time deviation trend chart to analyze whether the synchronization accuracy meets the requirements.

8. A detection and management method for a power system time synchronization tester according to claim 1, characterized in that: The S4 further comprises: Detect the mutation points in the time deviation data and identify possible interference sources through fast Fourier transform; When the time deviation of the tester continues to exceed the stable range, an early warning message is generated and the maintenance personnel are notified; According to the deviation monitoring results, the calibration cycle of each tester is dynamically adjusted to shorten the calibration interval of high-deviation testers; The deviation data of abnormal testers are classified and stored for subsequent analysis and optimization of synchronization strategies.

9. A detection and management method for a power system time synchronization tester according to claim 1, characterized in that: The S5 includes: Set preset thresholds for time deviation and store them in the central management platform; Real-time monitoring of the comparison results between the time deviation value of each tester and the preset threshold; When the time deviation value of any tester exceeds the preset threshold, a corresponding secondary synchronization correction instruction is immediately generated; Send a secondary correction instruction to the abnormal tester and perform time deviation correction on it until its deviation value returns to the allowable range; After completing the secondary calibration, the time deviation calibration results of the tester are recorded and archived.

10. A detection and management method for a power system time synchronization tester according to claim 1, characterized in that: The S5 further includes: Adaptively adjust the frequency and intensity of correction instructions according to the current time deviation change rate of the tester; For testers with periodic deviation fluctuations, differential control methods are preferred for precise adjustment; For testers with stable deviations for a long time, the integral control method is used to eliminate the cumulative error; Through dynamic bandwidth allocation technology, more communication resources are allocated to testers with larger deviations first to improve their synchronization speed.

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